AI computer vision systems typically require training on a vast collection of labelled images in order to function effectively. This training process allows the algorithms to learn the characteristics of different objects and scenes, and to develop a model that can be used to recognize and classify them.
After completing the training process, the system can then be utilized for the analysis of new images and videos. The AI algorithms will process the visual data and use the trained model to identify and classify objects and scenes in the images. This analysis can then be used by other systems or applications, such as facial recognition systems or image search engines.
AI computer vision works by using machine learning algorithms to analyse and understand the content of images and videos. It is trained on a large dataset of labelled images, and then uses this knowledge to identify and classify objects and scenes in new images and videos.
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